Question: Remarks & Instructions: There may be more boxes than necessary in any part. Please pay attention to all remarks instructions and read questions carefully. (a)

Remarks & Instructions: There may be more boxes
Remarks & Instructions: There may be more boxes than necessary in any part. Please pay attention to all remarks instructions and read questions carefully. (a) Constraints: 1. Each constraint should be written into one box. Use the order of decision variables when writing constraints, i.e., in increasing order of indices. Do not put any extra characters or explanations before or after a constraint. Do not scale any constraint 2 Decision variables should be written in text format, 0.9 x1, x2, ut1, 71. etc (similar to Lindo format) but should use the same symbol as the Gams model, without any space between the coefficient, symbol, and index indices. Also, relations should be in text format (eg, - 4) 3. Put exactly 1 space before and exactly 1 space after each of the following signs/relations () Optimal Values: 1. Each optimal nurmeric value should be written into one box 2. Do not put any spaces, otheriextra characters or explanations other than numeric values Below are the snapshots of the model and output files of Gams for a mathematical program Use them to answer the questions next to the snapshots, GAMS MODEL SETS (a) Write the mathematical programming formulations of constraints in Egt. isone set / 1.4/ son set / 1.3/1 PARAMETERS a(i) sone parameter / 1 60, 2 550, 36, 49 c) sone parameter / 15, 24, 39/ TABLE (1.1) sore table 2 3 1 2 3 4 265 15 SCALARS sono scatar / 11.546 VARIABLES (3) sone variable sone variable 2 some variables z. - POSITIVE VARIABLES EQUATIONS Eql(i) sone equation 192 sone equation; E41(1).. sum]. (1.1)x())) -- (i); 92.. sumi), c)(3) - Yi MODEL 52021M lavi SOLVE S2022 using LP maximizing y (b) Write the optimal values of decision variables that are not redundant. Remark: Do not write symbols, relations, etc. Just give numeric values. GAMS OUTPUT E REPORT SUMMARY: NONOPT @ INFEASIBLE O UNBOUNDED Execution - 31 VARIABLE X.L some variable 1 1.091, 3 0.455 31 VARIABLE y.L - 10.636 some variable 31 VARIABLE 2.L = 11.546 some variable Remarks & Instructions: There may be more boxes than necessary in any part. Please pay attention to all remarks instructions and read questions carefully. (a) Constraints: 1. Each constraint should be written into one box. Use the order of decision variables when writing constraints, i.e., in increasing order of indices. Do not put any extra characters or explanations before or after a constraint. Do not scale any constraint 2 Decision variables should be written in text format, 0.9 x1, x2, ut1, 71. etc (similar to Lindo format) but should use the same symbol as the Gams model, without any space between the coefficient, symbol, and index indices. Also, relations should be in text format (eg, - 4) 3. Put exactly 1 space before and exactly 1 space after each of the following signs/relations () Optimal Values: 1. Each optimal nurmeric value should be written into one box 2. Do not put any spaces, otheriextra characters or explanations other than numeric values Below are the snapshots of the model and output files of Gams for a mathematical program Use them to answer the questions next to the snapshots, GAMS MODEL SETS (a) Write the mathematical programming formulations of constraints in Egt. isone set / 1.4/ son set / 1.3/1 PARAMETERS a(i) sone parameter / 1 60, 2 550, 36, 49 c) sone parameter / 15, 24, 39/ TABLE (1.1) sore table 2 3 1 2 3 4 265 15 SCALARS sono scatar / 11.546 VARIABLES (3) sone variable sone variable 2 some variables z. - POSITIVE VARIABLES EQUATIONS Eql(i) sone equation 192 sone equation; E41(1).. sum]. (1.1)x())) -- (i); 92.. sumi), c)(3) - Yi MODEL 52021M lavi SOLVE S2022 using LP maximizing y (b) Write the optimal values of decision variables that are not redundant. Remark: Do not write symbols, relations, etc. Just give numeric values. GAMS OUTPUT E REPORT SUMMARY: NONOPT @ INFEASIBLE O UNBOUNDED Execution - 31 VARIABLE X.L some variable 1 1.091, 3 0.455 31 VARIABLE y.L - 10.636 some variable 31 VARIABLE 2.L = 11.546 some variable

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